Lecture 10 Life-History (continued)

Summary from last lecture

Age-specific reproductive effort will evolve to maximize l which represents a tradeoff between m (current reproduction) and p(g) (future reproduction.

If l(x) and m(x) are affected by environmental variability a "bet-hedging’ strategy may evolve.

Bet-hedging evolves when there is a trade-off between mean and variance, where phenotypes with reduced mean fitness may be at a selective advantage when there is variance in juvenile or adult survivorship.

For Ex.

Genotypes

A

B (# of offspring)

Good yr

9

5 (low juvenile mortality)

Bad yr

1

3 (high Juvenile mortality

Mean

5

4

Idea: B represents the ‘bet-hedging’ strategy – less energy expended to offspring in good years even though more is possible. Having fewer offspring in good years enables more to be produced in bad years.

When the fitness of a genotype varies over a generation it is appropriate to measure its contribution in terms of the "geometric mean" fitness rather than its "arithemetric mean" fitness.

Why? Because population increase occurs geometrically not linearly.

So, from our example let’s look at the difference.

Where,

Geometric mean = Ö m1* m2 * m3 ….m® n

Arithemetic mean = m1 + m2 + m3 ...m® n

Genotype:

A = Ö 9*1 = 3

B = Ö 5*3 = 3.87 Þ higher fitness

Empirical evidence:

Reid (1987) studied population of sea gulls where natural range of clutch sizes is 1-3 chicks, and he artificially altered broods to range from 1-7 chicks.

Found that adult survivorship declined significantly when > 3 chicks, however, fledgling success was disporportionately higher in large broods (seems to have a selected advantage. These leads to higher adult fitness in good years but in poor years few broods survive and adult mortality is high. So, smaller brood size, on average, results in higher fitness.

Over the past few lectures we have examined question that attempt to explain the patterns of life history traits such as:

Why do some organisms breed only once?

Why do some breed early and others late?

Why few large offspring vs. many small offspring?

Summarize our conclusions in an ecological context:

Two major parameters - RE and Iy

Factors which affect RE

Favoring high RE

  1. low mean adult survivorship (P)
  2. high mean juvenile survivorship (C)
  3. high s 2 (P)
  4. low s 2 (C)

ß

Result: early a

semelparity

small body size

Favoring low RE

  1. high mean adult survivorship (P)
  2. low mean juvenile survivorship (C)
  3. low s 2 (P)
  4. high s 2 (C)

ß

result: later a

iteroparity

larger body size

Factors affecting Iy

Favoring high Iy:

  1. stable environment
  2. contest competition
  3. dispersal not necessary (low)
  4. size-dependent survivorship

result: small clutch size

large young

r low

actual clutch size depends on:

    1. total energy available to parent
    2. amount of RE available (given trade-off between current and future reproduction.
    3. Amount of Iy available

Favoring low Iy:

  1. unstable environment
  2. exploitative competition
  3. dispersal important
  4. size-neutral

These predictions have been brought together to form a concept that has been widely applied to explain life-history patterns, referred at the r and K selection paradigm. The letters refer to parameters of the logistic equation where:

Under K conditions, life-history characters are influenced by density-dependent conditions.

In other words: low RE, high Iy

Under r conditions, life-history influenced by density-indep cond, habitat unpredictable, intermittently pop exp. benign periods of rapid growth free from competition – other times unavoidable mortality (unpredictable).

Consequences – periods when high r is favored, mortality independent of size of offspring and populations density, survivorship dependent on environmental conditions.

In other words: RE high, Iy low

Originally concept applied to contrast species that were good at rapidly colonizing ‘empty’ islands versus species that were at maintaining themselves on islands once many colonizers had reached the island.

Are low RE, high Iy and vice versa really correlated?

Broad taxonomic comparisons:

Higher vertebrates – large size, long-life, low reproductive output (homeostatic).

Insects – small size, short-lived, high reproductive output (not homeostatic)

Ecological approach to studying the environmental basis for life-history variation. Study two or more populations (within species best, or at least closely-related species).

Gadgil and Solbrig 1972

Examined the influence of density and density-independent affects on life history traits in dandelion.

Experimentally introduced a regime of disturbances in three habitats:

High D.I. mortality

1-mowed every week

2- mowed every 3 mos.

High D.D. mortality

3- mowed once/year

3 biotypes (electrophoretically distinct morphs)

Frequency of biotypes/habitat at end of experiment

Habitat

Biotype 1

Biotype 2

Biotype 3

A

0.70

0.23

0.10

B

0.25

0.45

0.12

C

0.05

0.22

0.13

D

0

0.10

0.65

Habitat A ® D, represents gradient from highly disturbed to not undisturbed. Competitive ability highest in biotype 3, lowest in type 1.

Biotype 1: r-type favored (exploitative competition). Vs Biotype 3: K-type favored (contest competition)

Other study: Reznick and Endler - examined impact of predation on life history in guppies

Site

Adult Sur.

RE

a

Time between Broods

Iy/Ny

High adult predation

low

High

early

short, many

low/high

Low adult predation

high

Low

late

long, few

high/low

ß

dry wt. embryos

dry wt. body & embryo

Evidence for RE ­ , Iy ¯ , presumably high predation on adults select for high r (i.e., population always below carrying capacity - not limited by resources.)

Conclusion: confirms theory

More recent work by Reznick and Endler show that individuals tranplanted across habitats show genetic changes over time that conform to ecological condition - confirmation of evolution of characters direct result of ecological conditions.

Overall conclusion:

Components that describe life history traits:

Reproductive effort (RE)

Investment of effort (Iy)

These parameters have been linked together in the concept know as r and K selection Where,

r means RE­ , Iy¯ population generally below carrying capacity

and

K means RE¯ , Iy­ population generally at or near carrying capacity

Exceptions:

1- RE­ Iy¯ when P¯ , C­ but offspring survival highly dep. on size. Means dispersal probably not imp.

2 - RE ¯ , Iy¯ when P¯ , C¯ but juvenile survivorship is indep. of size, or negatively dependent on size.

Example 1:

Wylber et al. 1970

Scleropus olivaceous Lizard

K-selected attributes, long-lived, RE¯ (iteroparous) with many clutches but, fecundity: high and Iy¯ - why?

Juvenile mortality is high but indep. of offspring size - source of mortality is predation not competition.

Example 2:

Chelonia mydas (Green sea turtle)

Again, K-selected attributes with high fecundity RE ¯ , Iy¯ where, P ­ , C¯ , perhaps size-indep. mortality or selection for dispersal?

3- Physiological demands - low RE when RE should be high

e.g. reduced RE may be a result of lower total energy available.

e.g. Freshwater vs. brackish water populations of mosquitos. Total energy available is lower in brackish water populations due to higher osmoregulatory demands.

4- Phylogenetic constraints

e.g. Albatross - brood patch only able to accommodate single egg. To commit higher RE, requires concomitant morphological change.

Proximate explanation.

Many life-history studies report